Unlock instant, AI-driven research and patent intelligence for your innovation.

Identification method, terminal and computer storage medium

A recognition method and terminal technology, applied in computer parts, computing, character and pattern recognition, etc., can solve the problems of low recognition rate accuracy and low recognition method accuracy.

Pending Publication Date: 2021-06-29
GUANGDONG OPPO MOBILE TELECOMM CORP LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the indoor and outdoor detection of images, there are methods based on external devices, such as wireless fidelity (WIFI, Wireless Fidelity), light-sensing and infrared, and methods based on the image itself. Among them, the method based on the image itself often uses artificial intelligence (AI) , Artificial Intelligence) algorithm, AI algorithm is used to distinguish between indoor and other scenes (for example: green plants & sky & portrait), AI algorithm can provide indoor and outdoor multi-classification results, but the accuracy of recognition rate for indoor and outdoor is not high, It is about 85%, and the YUV data used by the AI ​​algorithm makes the algorithm unsuitable for automatic white balance (AWB, Auto White Balance) / automatic exposure (AE, Automatic Exposure). Some indoor and outdoor recognition methods for images have low accuracy

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Identification method, terminal and computer storage medium
  • Identification method, terminal and computer storage medium
  • Identification method, terminal and computer storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] An embodiment of the present application provides an identification method, which is applied to a terminal, figure 1 For a schematic flow chart of an optional identification method provided in the embodiment of this application, refer to figure 1 As shown, the above identification methods may include:

[0037] S101: Acquiring image data of an image to be recognized;

[0038] S102: Obtain color temperature data of an environment in which the image to be recognized is captured through a color temperature sensor;

[0039] Specifically, the camera of the terminal collects the image to be recognized, and can obtain the image data of the image to be recognized. The terminal is provided with a color temperature sensor, which can obtain the color temperature data. Figure 2a is a structural schematic diagram of an example of a terminal provided with a color temperature sensor, Figure 2b is a structural schematic diagram of another example of a terminal provided with a color...

Embodiment 2

[0127] Figure 11 Schematic diagram of the structure of a terminal provided in the embodiment of this application Figure 1 ,Such as Figure 11 As shown, the embodiment of this application provides a terminal, including:

[0128] The first obtaining module 111 is used to obtain the image data of the image to be recognized;

[0129] The second acquisition module 112 acquires the color temperature data of the environment where the image to be recognized is captured through a color temperature sensor;

[0130] The processing module 113 is used to process the image data of the image to be recognized and the time domain information of the two channels of the color temperature data respectively to obtain the image characteristics of the image to be recognized;

[0131] The identification module 114 is configured to input the image features of the image to be identified into a pre-trained machine learning classification model to identify the image to be identified to identify whethe...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention discloses an identification method. The method is applied to a terminal and comprises the following steps: acquiring image data of a to-be-identified image, acquiring color temperature data of an environment for shooting the to-be-identified image through a color temperature sensor, processing the image data of the to-be-identified image and time domain information of two channels of the color temperature data respectively, obtaining image features of the to-be-recognized image, inputting the image features of the to-be-recognized image into a pre-trained machine learning classification model, and recognizing the to-be-recognized image to recognize whether the to-be-recognized image is an indoor image or an outdoor image. The embodiment of the invention further provides a terminal and a computer storage medium.

Description

technical field [0001] The present application relates to image recognition technology, and in particular to a recognition method, a terminal and a computer storage medium. Background technique [0002] In the indoor and outdoor detection of images, there are methods based on external devices, such as wireless fidelity (WIFI, Wireless Fidelity), light perception and infrared, and methods based on the image itself. Among them, the method based on the image itself often uses artificial intelligence (AI) , Artificial Intelligence) algorithm, AI algorithm is used to distinguish indoor and other scenes (for example: green plants & sky & portrait), AI algorithm can provide indoor and outdoor multi-classification results, but the accuracy of recognition rate for indoor and outdoor is not high, It is about 85%, and the YUV data used by the AI ​​algorithm makes the algorithm unsuitable for automatic white balance (AWB, Auto White Balance) / automatic exposure (AE, Automatic Exposure). ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/48
CPCG06V20/35G06V10/56G06V10/46G06V10/473
Inventor 王琳
Owner GUANGDONG OPPO MOBILE TELECOMM CORP LTD